the variance
Learning the Variance of the Reward-To-Go
... and variance are estimated. However, the resulting variance is a product of both stochastic transitions and model uncertainty, and is thus different than the variance considered ...the ...
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The Variance Profile
... The analysis of two time series of returns according to the variance profile provides a broad confirmation of these findings. We focus on the daily returns computed on the Nasdaq and Standard & Poor stock ...
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On the Variance of Antithetic Time Series
... the variance of a real time series is fixed and cannot be ...the variance can be altered to illustrate its ...of variance is reviewed in sections 2 and ...of variance on percentage reduction ...
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On Some Inequalities for the Expectation and Variance
... Remark 4. If α = β = x is taken in (3.1), then the results of Barnett et al. [2] based around the identity (1.5) are recaptured. In addition, if x = E (T ), then the bounds are on the variance alone. Taking α = a ...
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The value of travel time variance
... The variance of travel time is an attractive measure of travel time vari- ability since it only requires random travel times on parts of the trips to be independent in order to be additive over ...
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a new – or third – generation of volatility products including forward-start variance swaps, gamma swaps, corridor variance swaps and conditional variance swaps. Thanks to
... Carr and Madan suggest a formal method for pricing variance swaps that has the advantage of requiring very few assumptions about stock price dynamics. Instead of defining a process for the stock price, Carr and ...
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Bond variance risk premiums
... and variance risk premiums. The unconditional variance risk premiums are obtained as the unconditional average of the difference between the realized variance under the physical measure and the ...
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Inflation of Environmental – Friendly Machining Parameters on Aluminium 6063 In Its Annealed and Unannealed form
... of variance (ANOVA) was used to investigate which design parameters significantly affect the surface ...of variance ratio (F), which is the variance of the factor divided by the error variance ...
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Influence of relative submergence on spatial variance and form-induced stress of gravel-bed flows
... spatial variance in veloc- ity and Reynolds ...larger variance in form-induced momentum ...the variance becomes more pronounced relative to the spatial ...
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Effectiveness of Programming in Pair Comparative Analysis through Project Experiments
... There are two experiment project have been performed during this research with two project development techniques. For both the project team a project “online jewellery shop management” project is allocated. Also both ...
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Expected and realized stock returns: Evidence from India
... In the present study, 30 companies listed on the Bombay Stock Exchange of India (BSE Sensex top 30) have been studied. The nine years period of study from 2006-07 to 2014-15 has been considered for this study. The beta ...
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Income variance dynamics and heterogenity
... the variance has been ...the variance of income are also important for our understanding of ...the variance of income (Carroll and Samwick, 1997; Hubbard, Skinner and Zeldes, 1994), while Alvarez, ...
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Automatic variance control and variance estimation loops
... of variance is required if a Least-Mean Squares (LMS) algorithm is used for weight vector estimation ...the variance recursively. That is, (assuming large k) for a sample variance σ k 2 of k samples ...
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Optimal Variance Swaps Investments
... the variance swaps and constructing optimal portfolios following the theory pro- posed in [11], and developed in ...The variance swap contract contains two legs; one is the fixed leg, also called the ...
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Methods of variance component estimation
... not influenced by the translation of non-random elements of the model. Rao (1971a, 1972) devel- oped methods to estimate linear combinations of all the variance components in model (5). We will not go into details ...
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MaximumEntropyLighting2005.pdf
... image variance and prediction error variance, which are monotonically related to compressibility for Gaussian ...the variance approach is that both image variance and prediction error ...
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Power-variance models for modelling rainfall
... for suitable known functions κ() and a() (Jørgensen, 1997). The mean of the distribution is µ = ˙ κ(θ) and the variance is φ¨ κ(θ). Since the mapping from θ to µ is invertible, write ¨ κ(θ) = V (µ) for a suitable ...
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Maximum likelihood estimation of variance components
... It would be possible to write down the expected derivatives (6.4) - (6.15) in terms of ni, . . . , np, e, b, e* and b*; gather the expressions into matrices and multiply to get the variance matrices. But the ...
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On generalized variance of normal Poisson model and Poisson variance estimation under Gaussianity
... by variance function and by generalized variance, and also its generalized variance ...the variance (which is also the mean) of unobserved Poisson component can be estimated through the ...
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Applying Variance Gamma Correlated to Estimate Optimal Portfolio of Variance Swap
... a variance swap include the variance strike, which is also called fixed leg, the realized vari- ance, ...realized variance of the price changes of the underly- ing ...a variance swap would ...
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